The 2D-Gabor wavelet transformation is a tool for a complete representation of an image in terms of radial frequency and orientation [1]}. To highlight the blood vessels of different width placed at different orientations in this work, we used a bank of 2D-Gabor wavelet filters to the preprocessed retinal image. Daugman et al. [2]} have proposed that ensemble of a simple cell of visual cortex can be represented as a family of 2D-Gabor wavelets. The decomposition of an image, \(f=I_c\) , as wavelet transform is defined as
\(({T^{wav}}f)(a,\theta ,{x_0},{y_0}) = {\left\Vert  a \right\Vert ^{ - 1}}\iint {dxdyf(x,y){\psi _\theta }\left( {\frac{{x - {x_0}}}{a},\frac{{y - {y_0}}}{a}} \right)},\) 
